GitHub / mzaid295 / Cats-and-Dog-Classification-Using-Support-Vector-Machine-HOG-Features

Cat vs. Dog classification model using traditional ML methods, including data collection, splitting, HOG feature extraction, model training (e.g., SVM, Decision Tree), and fine-tuning via Grid Search.

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PURL: pkg:github/mzaid295/Cats-and-Dog-Classification-Using-Support-Vector-Machine-HOG-Features

Topics: classification, gridsearch, hog-features, machine-learning, support-vector-machine, svm-model

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• Readme
• Dependencies